Triple
T22838329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fred Schepisi |
E566006
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Alexandra Schepisi |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Alexandra Schepisi | Statement: [Fred Schepisi, hasChild, Alexandra Schepisi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexandra Schepisi Context triple: [Fred Schepisi, hasChild, Alexandra Schepisi]
-
A.
Alexandra Schepisi
chosen
Alexandra Schepisi is an Australian actress and occasional director known for her work in film, television, and theatre.
-
B.
Mary Schepisi
Mary Schepisi is an American artist and painter known for her contemporary works and for being married to Australian film director Fred Schepisi.
-
C.
Rhonda Schepisi
Rhonda Schepisi is the wife of Australian film director Fred Schepisi.
-
D.
Catherine Gund
Catherine Gund is an American documentary filmmaker, producer, and activist known for founding the production company Aubin Pictures and creating socially engaged films on LGBTQ+ rights, public health, and social justice.
-
E.
Deborah Sharp
Deborah Sharp is an American author best known for her humorous Mace Bauer Mystery series set in Florida.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e8244dc819089c0a7525fb512ab |
completed | April 29, 2026, 3:44 a.m. |
Created at: April 17, 2026, 3:35 p.m.